tmci {ctmcd} | R Documentation |
Delta Method Confidence Intervals for Matrix Exponential Transformations of Generator Matrix Objects
Description
Generic function to derive delta method based confidence intervals for matrix exponential transformations of "EM" based generator matrix objects
Usage
tmci(gmem, alpha, te, eps = 1e-04, expmethod = "PadeRBS")
Arguments
gmem |
an "EM" generator matrix object |
alpha |
significance level |
te |
discrete time horizon for which the interval is supposed to be computed |
eps |
threshold for which generator matrix parameters are assumed to be fixed at zero |
expmethod |
method to compute matrix exponentials (see |
Details
Confidence intervals for discrete-time transition matrix predictions given generator matrix estimates are computed by using the delta method for matrix exponential transformations.
Value
transition matrix confidence bounds
References
G. dos Reis, M. Pfeuffer, G. Smith: Capturing Rating Momentum in the Estimation of Probabilities of Default, With Application to Credit Rating Migrations (In Preparation), 2018
Examples
data(tm_abs)
## Maximum Likelihood Generator Matrix Estimate
gm0=matrix(1,8,8)
diag(gm0)=0
diag(gm0)=-rowSums(gm0)
gm0[8,]=0
gmem=gm(tm_abs,te=1,method="EM",gmguess=gm0)
## 2.5 Year Transition Matrix Confidence Interval
citm=tmci(gmem,alpha=0.05,te=2.5)
citm